搜索资源列表
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遗传算法如何利用C++程序来实现，以求作业车间调度等问题。-How to use the genetic algorithm C++ program to implement in order to job shop scheduling problems.
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Genetic algorithm for multi objective code with C++.This GAs uses the Pareto method.
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GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)
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传统的经典遗传算法c++源码，包含很多例子，该源码很具有一般性。-Traditional classical genetic algorithm c++ Source, contains many examples, the source code is very general.
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Generic sorting algorithms；分类问题的遗传算法，C++ 源程序。-Generic sorting algorithms classification of the genetic algorithm, C++ Source.
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基本遗传算法的C语言源程序。（遗传算法的应用范围极其广泛，它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。）-Basic genetic algorithm C language source code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, combinatorial
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用遗传算法解决TSP问题.程序中可以任意设置各种遗传算法的参数.有图形界面展示搜索的过程 .-Using genetic algorithms to solve TSP problem. Program can set various parameters of genetic algorithm. Has a graphical interface to display the search process.
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Simulated Annealing SA
Hill Climbing HC
Local Beam Search LBS
Genetic Algorithm GA
-Simulated Annealing SA
Hill Climbing HC
Local Beam Search LBS
Genetic Algorithm GA
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使用遗传算法求解最小生成树的编码，C++环境-Genetic Algorithm for Minimum Spanning Tree
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GA 算法 PIKAIA1.2 Genetic Algorithm
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Feature Selection for Face Recognition
Using a Genetic Algorithm
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这是多目标优化问题的经典文章，值得研究。A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)-A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)
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遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法，它借
用了生物遗传学的观点，通过自然选择、遗传、变异等作用机制，实现各个个体的适应性
的提高。-Genetic Algorithm (Genetic Algorithm, GA) in recent years developed a brand new global optimization algorithm, which, by
With the biological point
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This the program for the GECCO 2008 contest utilizing the genetic algorithm-This is the program for the GECCO 2008 contest utilizing the genetic algorithm
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It is simple genetic algorithm with different crossingover methods.
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genetic algorithm C source code
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genetic algorithm implementation for game engine design
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这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂
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This is knapsack problem solution by genetic algorithm
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多变量遗传算法C++版 测试通过 输入输出文件在源码中有说明 根据需要修改目标函数和变量数即可-Multivariate genetic algorithm C++ and the number of variables needed to
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